2013 Pre-workshop surveyHLABC "Statistics Bootcamp 101"Annual CE WorkshopJune 14th, 2013HLABC "Statistics Bootcamp 101" June 14th, 2013
Preworkshop survey resultsSurvey: HLABC "Statistics Bootcamp 101" June 14th, 2013Author: Dean GiustiniExecutive SummaryThis report contains a detailed statistical analysis of survey results for the HLABC "Statistics Bootcamp 101" June 14th,2013 . The analysis includes answers from respondents who took the survey in the 8 day period, April 22, 2013 to April29, 2013.N=25 completed responses were receivedHLABC "Statistics Bootcamp 101" June 14th, 2013“…why do we, as health librarians,think it’s a good idea to invite abiostatistician to give a workshopon statistics? …“
HLABC "Statistics Bootcamp 101" June 14th, 2013• biostatistics bi·o·sta·tis·tics (bīō-stə-tĭstĭks) n.The science of statistics applied to the analysis of biological or medical data…• what is a biostatistician?A biostatistician uses statistics to compile analyses of data retrieved from clinical trials to assistresearchers in their study of the patterns of disease among populations, and to project the bestmethod of interventionWhat are biostatistics?Penny Brasher is a Senior Research Scientist at C2E2 and anassociate member of the UBC Department of Statistics. She is theStatistical Editor for the Canadian Journal of Anesthesia and hasserved on several grant review committees and ethics boards. Herresearch interests include clinical research methodology, secondaryuse of administrative data and statistical education
"Why do we, as health librarians, think it’s a good idea to invite a biostatistician to give a workshop onstatistics?" (Dr. Brasher has asked this question. Provide your answer in the space below.)No answerjust becauseto become more knowledgeable about critical appraisal - what I can and cannot do based on my level of knowledge, to beable to guide our clientsStatistics are already an essential part of health research and will only become more so in the future. As medical librarianswe help researchers find and sometimes understand statistics and therefore it is important that we have a basic level ofstatistical literacy.Because we educate students about evidence based practice, we need to have a sophisticated understanding of statistics.Health librarians are often asked to do research (of the literature) for only the "best" articles on a topic. A clear understandingof biostatistics, how to critique research articles helps to determine whether or not literature we find meets criteriaSubject expertise will help librarians find quality articles for our clientsBecause we can use statistics in library research for meaningful assessment and more.We need to have a greater understanding of statistics in order to evaluate/appraise articles when selecting the best articleson a research topic.Great to learn more about stats from someone who uses them.people in health care are often looking for statistics to support the research ideas.My background is in the hard sciences (PhD chemistry). As chemistry has to be reproducible to publish, very little statisticsknowledge was needed and no course required. In health science information, I have had to try to teach myself basic stats toensure that Im understanding whether the statistics presented in a paper are a distortion, what confidence interval means,etc. I am very confused by stats, although things like NNT, NNH are easy to follow.Our patrons need to access, use, and create good statistics (medical and other), and present us with questions and requestswhich assume we understand the field. We also teach and coach patrons in application of evidence, which often depends oncorrect understanding of the evidence.HLABC "Statistics Bootcamp 101" June 14th, 2013
Statistics and the surveillance of what we do as librarians is important in letting us know what activities aresuccessful, what are not, and a snapshot of trends that can be used for short and long-term planning. It gives usclues as to what we can do better, or where weve done well...and metrics that can show our worth to others. Abiostatistician will hopefully enable us to understand how health practitioners collect, use, and analyze data so that1. librarians would be able to better interpret and evaluate health literature, and 2. strengthen our skills andknowledge by incorporating statistical measurements in the collection and analysis our own library data.We provide education on critical appraisal and we should never be complacentI work with biostatisticians, so it would be good to understand more about their workA biostatistician is better than a non-biostatistician in my viewWorking in the health sciences with topics and research methods that use biostatistics makes it imperative to haveliteracy in this areaTo engage with an expert who comes from a perspective of generating, using, and teaching statistics. To discusspublic and professional numeracy, issues about the misuse and misunderstanding of statistics, and ways we canbetter help our users.Need to understand more about evaluating research not just the sources of the information.Health librarians need to deepen their knowledge about basic science, statistics and other scientific concepts."Why do we, as health librarians, think it’s a good idea to invite a biostatistician to give a workshop onstatistics?" (Dr. Brasher has asked this question. Provide your answer in the space below.)HLABC "Statistics Bootcamp 101" June 14th, 2013
If you could select only one topic for the session, what would it be?HLABC "Statistics Bootcamp 101" June 14th, 2013
Why do we do clinical research?HLABC "Statistics Bootcamp 101" June 14th, 2013
I would characterize my knowledge about statistics in biomedicine as (select one):HLABC "Statistics Bootcamp 101" June 14th, 2013
How do you primarily use your statistical knowledge in your work?HLABC "Statistics Bootcamp 101" June 14th, 2013
My primary goal in attending this session is to:HLABC "Statistics Bootcamp 101" June 14th, 2013
I will attend the June 14th 2013 HLABC Statistics Bootcamp 101HLABC "Statistics Bootcamp 101" June 14th, 2013
Descriptive statisticsAn example of the use of descriptive statistics occurs in drug studies. In papers reporting human subjects, there is typically a tablethat states the sample size in subgroups (e.g. treatment or exposure groups), and demographic or clinical characteristics such asaverage age, proportion of subjects in each gender and proportion of subjects with related comorbidities.Inferential statisticsWith inferential statistics, conclusions are made that go beyond the immediate data. For instance, inferential statistics are used toinfer from sample data what a population might be thinking about something. Or, inferential statistics are used to makejudgments of the probability that an observed difference between groups is dependent on something happening, or might havehappened by chance. Inferential statistics are used to make inferences from the data collected and used to describe what isprobably happeningFor more basic information on statistical literacy, see:http://hlwiki.slais.ubc.ca/index.php/Statistics_for_academic_librariansHLABC "Statistics Bootcamp 101" June 14th, 2013
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